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Music

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The Generation of Piano Music Using Deep Learning Aided by Robotic Technology.

Computational intelligence and neuroscience
In order to improve the accuracy and precision of music generation assisted by robotics, this study analyzes the application of deep learning in piano music generation. Firstly, based on the basic concepts of robotics and deep learning, the advantage...

Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning.

Journal of environmental and public health
With the continuous changes of college music education and public mental health problems, conventional solutions are no longer sufficient. At this time, we adopted a method based on deep learning to study them. The experiments showed that ① deep lear...

Using Pitch Feature Matching to Design a Music Tutoring System Based on Deep Learning.

Computational intelligence and neuroscience
It is a challenge for the current music teaching system to carry out teaching according to the difference of score difficulty and realize automatic grading. Therefore, identifying the difficulty of music score according to pitch is the key to individ...

Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology.

Journal of environmental and public health
With the rise of Erhu teaching in recent years, a large number of people have joined the team to learn Erhu playing. However, due to the high cost of teaching and the unique one-to-one teaching mode between teachers and students, Erhu education resou...

Design and development of a social assistive robot for music and game activities: a case study in a residential facility for disabled people.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Cognitive disability strongly reduces people's autonomy in performing desired as well as daily activities. The use of Social Assistive Robots (SARs) for cognitive rehabilitation therapy for disabled people could be a valuable gateway for the resident...

Substituting some unassisted practice with robotic guidance: Assessing the feasibility of auditory-cued mixed practice for music-based interventions.

NeuroRehabilitation
BACKGROUND: There is equivocal evidence regarding the effectiveness of robotic guidance on the (re)learning of voluntary motor skills. Robotic guidance can improve the performance of continuous/ tracking skills, although being seldom more effective t...

Music Similarity Detection Guided by Deep Learning Model.

Computational intelligence and neuroscience
Digital music has become a hot spot with the rapid development of network technology and digital audio technology. The general public is increasingly interested in music similarity detection (MSD). Similarity detection is mainly for music style class...

Using Deep Learning to Recognize Therapeutic Effects of Music Based on Emotions.

Sensors (Basel, Switzerland)
Music is important in everyday life, and music therapy can help treat a variety of health issues. Music listening is a technique used by music therapists in various clinical treatments. As a result, music therapists must have an intelligent system at...

Reminiscent music therapy combined with robot-assisted rehabilitation for elderly stroke patients: a pilot study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Although some studies suggest that robot-assisted technology can significantly improve upper limb function in stroke patients compared to traditional rehabilitation training, it is still necessary to incorporate an auxiliary intervention ...

Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA).

Alcohol and alcoholism (Oxford, Oxfordshire)
BACKGROUND: Music is an integral part of our lives and is often played in public places like restaurants. People exposed to music that contained alcohol-related lyrics in a bar scenario consumed significantly more alcohol than those exposed to music ...